Packaging system

Abstract

The utility model provides a packaging system, and relates to the technical field of product packaging. The packaging system disclosed by the utility model comprises material conveying equipment, a packaging machine set and a control system, wherein the material conveying equipment is configured to convey packaged articles and packaging auxiliary materials to the packaging machine set; the packaging machine is configured to package the packaged articles by using the packaging auxiliary materials and output packaged and formed products; the appearance detector is configured to collect an image of a product produced by the packaging machine and reject the product under the condition of determining that the product has defects; and the data transmission equipment is configured to send the image acquired by the appearance detector to the server.

Description

Technical Field

[0001] The present disclosure relates to the technical field of product packaging, and in particular to a packaging system. Background Art

[0002] In the production, transportation, and sales of tobacco products, the qualified appearance of the small boxes is an important factor in ensuring the quality of small box products and the brand image. The small box appearance detection system mainly adopts an online detection mode, and the appearance detector of the small box can find and remove the small boxes with appearance defects.

[0003] Taking the mainstream medium-speed packaging machines of major cigarette factories as an example, when detecting 5 end faces of small boxes, according to the current online real-time detection system, 400 small boxes, a total of 2000 end faces, need to be detected within one minute, that is, the processing of a medium-resolution image must be completed within 30 milliseconds. The missed detection rates of appearance detectors of various brands are generally between 0.4% and 2%. Summary of the Utility Model

[0004] An object of the present disclosure is to reduce the missed detection rate of product defects and improve product quality.

[0005] According to one aspect of some embodiments of the present disclosure, a packaging system is provided, which is characterized in that it includes: a material conveying device configured to convey the articles to be packaged and packaging accessories to a packaging unit; a packaging machine configured to package the articles to be packaged with packaging accessories and output packaged and formed products; an appearance detector configured to collect images of the products produced by the packaging machine and remove the products when it is determined that the products have defects; a data transmission device configured to send the images collected by the appearance detector to a server.

[0006] In some embodiments, the packaging system further includes: an alarm mechanism configured to issue an alarm message under the trigger of the server.

[0007] In some embodiments, the packaging system further includes: a traceability and removal device configured to remove corresponding products in the warehouse under the trigger of the alarm mechanism or the server.

[0008] In some embodiments, the packaging system further includes: a conveyor line located at the product output end of the packaging unit and configured to convey the products in the direction of the warehouse.

[0009] In some embodiments, the packaging system further includes: a warehouse configured to store products.

[0010] In some embodiments, the conveyor line of the packaging system includes a first conveyor line and a second conveyor line; the first conveyor line is configured to convey the products output by the packaging unit to a processing device; the second conveyor line conveys the processed products output by the processing device to the warehouse; the packaging system further includes: a processing device configured to perform packaging processing on the products and output processed products.

[0011] In some embodiments, the packaging system data transmission device includes a router, a network card, and a data transmission line; or the data transmission device includes a wireless router and a network card.

[0012] In some embodiments, there are multiple packaging machines in the packaging system, and the appearance detectors correspond to the packaging machines one by one.

[0013] In some embodiments, the packaging system data transmission devices correspond to the packaging machines one by one.

[0014] In some embodiments, the packaging system defects include at least one of breakage, crack, hole, water mist, misaligned drawstring teeth, misaligned seal, unclear pattern, concave corner, foreign object, wrinkle, scratch, broken drawstring, printing error, color difference, decolorization, exposed white, deformation, missing steel seal, exposed trademark, unclear character, opening, dirt, warped corner, folded corner, unclear steel seal, missing pattern, and uncut incision. Description of the Drawings

[0015] The drawings described herein are used to provide a further understanding of the present disclosure and form a part of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation of the present disclosure.

[0016] Figure 1 Schematic diagrams of some embodiments of the packaging system of the present disclosure.

[0017] Figure 2 Schematic diagrams of other embodiments of the packaging system of the present disclosure.

[0018] Figure 3 Schematic diagrams of still other embodiments of the packaging system of the present disclosure. Detailed Description of the Embodiments

[0019] The technical solutions of the present disclosure will be further described in detail below with reference to the drawings and embodiments.

[0020] In the related art, due to the high production speed of the packaging machine, image processing needs to be completed in a short time, making algorithms with long processing times unable to be adopted. That is, real-time performance limits the complexity of image processing algorithms. Coupled with the overall machine cost limiting the computing performance of the processing platform, and factors such as external environmental interference, equipment performance fluctuations, and limitations of detection algorithms, the existing systems adopting real-time detection mode often have difficulty achieving ideal detection accuracy and efficiency. Especially under the pressure of pursuing production real-time performance and reducing auxiliary material consumption, traditional systems often need to make a trade-off between detection accuracy and speed. This kind of trade-off often leads to some minor defects, such as flaws with dimensions less than 2mm * 2mm, being ignored by the system, resulting in missed detection. A certain proportion of defective products will be misjudged as qualified products and thus flow into the market. These small boxes with appearance defects will not only affect the purchasing experience of consumers, but may also damage the brand reputation of the enterprise, bringing immeasurable economic losses to the enterprise.

[0021] In view of the above problems, the present disclosure proposes a packaging system that sends images to other devices for secondary detection on the basis of online detection, improving the effective utilization rate of the images collected by the appearance detector, facilitating the discovery of defective small boxes missed by the original system, providing a second guarantee for the appearance quality, while improving the detection accuracy and avoiding the pressure and interference on real-time detection on the production line, ensuring the stability and reliability of product quality.

[0022] Schematic diagrams of some embodiments of the packaging system of the present disclosure are as Figure 1 shown, including a material conveying device 11, a packaging machine 12, an appearance detector 13, and a data transmission device 14.

[0023] The material conveying device 11 can convey various materials required by the packaging machine 12 to the packaging machine 12. In some embodiments, the materials include cigarette rods produced by an upstream tipping machine, as well as auxiliary materials such as trademark paper, inner cardboard, aluminum foil paper, and drawstring.

[0024] The packaging machine 12 uses packaging auxiliary materials to package the items to be packaged and outputs packaged and formed products.

[0025] The appearance detector 13 collects images of the products produced by the packaging machine and rejects the products when it is determined that the products are defective. In some embodiments, the appearance detector is a real-time detection device that can complete appearance quality detection within dozens of milliseconds based on built-in traditional algorithms such as color detection, boundary positioning, and straight line search for objects, or deep learning technologies that have emerged in recent years. The appearance detector can be a detector that can be directly purchased on the market. One can directly buy existing finished appearance detectors on the market and deploy them at the position of the packaging machine.

[0026] The data transmission device 14 can send the images collected by the appearance detector to the server. In some embodiments, the data transmission device includes a router, a network card, and a transmission medium. In some embodiments, the router is a wired router and the transmission medium is a data transmission line, such as a network cable. In some embodiments, the router is a wireless router and the transmission medium is radio waves.

[0027] In the production system shown above, the appearance detector can be used to perform real-time detection on the products produced by the packaging machine, and at the same time send the obtained images to the server for secondary detection or storage backup, etc. in the server, so as to improve the effective utilization rate of the images collected by the appearance detector, facilitate finding defective small boxes missed by the original system, provide a second guarantee for the appearance quality, improve the accuracy of detection, avoid the pressure and interference on real-time detection on the production line, and ensure the stability and reliability of the product quality.

[0028] In some embodiments, such as Figure 2 shown, a packaging machine group is deployed on the production line, including multiple packaging machines, such as packaging machines 221 to 22n (n is a positive integer), and each packaging machine is configured with at least one appearance detector 231 to 23n, so as to reduce the processing burden of the appearance detector, facilitate determining the packaging machine that produces defective products according to the processing results of the appearance detector, and further facilitate the maintenance of production equipment.

[0029] In some embodiments, such as Figure 2 shown, each appearance detector or packaging machine is configured with a data transmission device 241 to 24n, and the data transmission devices correspond to the packaging machines one by one, and send the images collected by the appearance detector to the server. Such a system is conducive to determining the corresponding packaging machine according to the data transmission device of the image data source, so as to facilitate product traceability.

[0030] In some embodiments, the packaging system further includes an alarm mechanism, which can send an alarm message triggered by the server. In some embodiments, the alarm mechanism receives the trigger of the server through an electrical signal, conducts the circuit, and issues an alarm for the staff to view.

[0031] In some embodiments, the packaging system further includes a traceability rejection device, which can reject the corresponding products in the warehouse triggered by the alarm mechanism or the server. In some embodiments, the traceability rejection device may include a display, which can display the traceability information of the products provided by the server, so as to facilitate the staff to find the products in the warehouse. In some embodiments, the traceability rejection device may include an autonomous vehicle and a robotic arm, which can move to the position where the corresponding products are stored in the warehouse based on the traceability information of the products provided by the server and perform rejection processing on the products.

[0032] In some embodiments, the packaging system further includes a conveyor line located at the product output end of the packaging unit group, which conveys the products produced by the packaging machine towards the warehouse. In some embodiments, each packaging unit group corresponds to a conveyor line, thereby improving the transmission efficiency.

[0033] In some embodiments, the packaging system further includes a warehouse capable of storing products.

[0034] In some embodiments, the conveyor line of the packaging system includes a first conveyor line and a second conveyor line. The first conveyor line 271 is located between the processing equipment and the packaging unit group and can convey the products output by the packaging unit group to the processing equipment 25; the second conveyor line 272 conveys the processed products output by the processing equipment 25 to the warehouse 26. The processing equipment 25 can perform packaging processing on the products and output the processed products, thereby improving the delicacy of the products and the user experience.

[0035] Schematic diagrams of some embodiments of the packaging system of the present disclosure are as Figure 3 shown.

[0036] The packaging system includes multiple packaging machines 301 to 30n (n is a positive integer), which constitute a packaging unit group. Each packaging machine can produce products based on the obtained production materials, such as packaging the obtained products to be packaged with the obtained auxiliary materials. The packaging machine is connected to the conveyor line 36, and the conveyor line can send the products with the first quality inspection result being qualified output by the inspection system to the warehouse for storage.

[0037] The packaging system in the embodiments of the present disclosure can use the images obtained by the appearance detector to transmit them to the server in real time for secondary detection by the server. With the stronger computing power of the server, the fineness and accuracy of image analysis can be improved, the probability of missed detection of defective products can be reduced, and the product quality can be improved.

[0038] In some embodiments, each packaging machine has at least one corresponding appearance detector. As Figure 3 shown, the appearance detector 311 detects the products produced by the packaging machine 301, the appearance detector 312 detects the products produced by the packaging machine 302, etc., so as to facilitate positioning to the packaging machine according to the detection results of the appearance detector, and thus check and repair the packaging machine targeted when frequent product defects are detected, improving the fault recovery efficiency.

[0039] In some embodiments, the server can be located in the central control room of the cigarette making and packing workshop or corresponding places. In some embodiments, the server includes a transmission module 331 for transmitting images, a storage module 332 for storing images, a processing module 333 for performing secondary or even multiple detections on the stored images, and a traceability module 334 for positioning and searching for defective cartons according to the results obtained by the processing module.

[0040] In tobacco industry enterprises, the small box packaging unit molds the cigarettes produced by the upstream rolling machine and auxiliary materials such as trademark paper, inner card paper, aluminum foil, and wire into small box products. Taking the production line of small box products as an example, after each pack of small boxes is molded, the online real-time small box appearance detector (the appearance detector 301~30n shown in the figure) installed on each small box packaging machine 301~30n detects its appearance quality in real time. The online real-time appearance detector 301~30n obtains each end face image of the small box through image acquisition, and completes the appearance quality detection within tens of milliseconds through the traditional algorithms such as color detection, boundary positioning, and straight line object search built in the detector, or deep learning technology. If the appearance detector determines that the quality of the collected image is qualified, the small box enters the downstream machine through the conveyor line 36 for further processing and packaging until the final product is made and enters the warehouse 35 for storage. If the appearance detector determines that the quality of the collected image is unqualified, the small box is rejected by the rejection device of the appearance detector.

[0041] In some embodiments, the appearance detectors 311-31n temporarily store the collected images on their respective hard disks, and standardize the storage and naming rules. The image storage rule is that each collected image, whether qualified or not, is stored in jpg format, so as to minimize the image file size and facilitate transmission and storage. In some embodiments, the temporarily stored images can only be deleted after being transmitted to the storage module 332 by the transmission module 331, so as to avoid missing and losing the images. In some embodiments, the image naming rule is brand number + machine number + camera number + production time + qualified or not.

[0042] In some embodiments, the transmission module 331 includes a router, a network card and a transmission medium, and obtains images collected by each appearance detector for online detection through wireless or wired transmission. In some embodiments, the distribution of machines at each implementation site, the distance, and the network construction determine the use of wireless or wired transmission.

[0043] In some embodiments, the storage module 332 stores the small box images from the transmission module 331. The core components of the storage module 332 include a large-capacity hard disk placed in the server. The hard disk capacity is determined by the number of machines and the length of storage time. As the tobacco industry QR code project is fully rolled out, each pack of small boxes can trace its current status, such as whether it is stored in the warehouse of the tobacco industry company, stored in the warehouse of the tobacco business company, or has been delivered to the tobacco retailer. In some embodiments, the image continues to be stored in the storage module until the corresponding product has been delivered to the retailer to avoid losing traceability information.

[0044] The processing module 333 is capable of processing the images stored in the storage module (8). In some embodiments, from a hardware perspective, the processing module 333 includes structures such as a CPU, a graphics card, a motherboard, memory, a radiator, a power supply, and a chassis. In some embodiments, the hardware of the processing module 333 supports deep learning. The graphics card of the processing module 333 supports the training of small image networks and NLP classification networks, such as nnunet, faster rcnn, nndetection, textCNN, etc.; supports the inference of models such as transformer in NLP, such as Bert-SmaLL; supports the training and inference of small reinforcement learning networks. In some embodiments, from a software perspective, the processing module 333 mainly includes deep learning algorithms. In some embodiments, it may also include various traditional algorithms such as color detection, boundary localization, straight line search for objects, associated detection of objects, and edge search for objects. The processing module 333 applies multiple algorithms to perform multiple detections on the stored images according to the brand number and machine number, extracts the geometric features of the images, and compares them with the standard small box images of the corresponding brand and machine to find the images that may be missed in the inspection.

[0045] The processing module is not restricted by the machine site. Its graphics card can be increased without an upper limit. Compared with the appearance detector that can only carry one or two graphics cards due to being affected by the work station, working conditions, and heat dissipation, its computing power can be ten to a hundred times higher; since the processing module is not restricted by real-time performance, its processing time can be increased without an upper limit. Compared with the appearance detector that must complete one detection in less than 30 milliseconds, the processing time can be a hundred to a thousand times higher. The higher computing power and longer processing time of the processing module determine that it can carry and run detection algorithms that are thousands to tens of thousands of times more complex than those of the appearance detector. In summary, the detection accuracy of the processing module of the server is higher and the missed inspection rate is lower. In addition, the processing module is convenient for timely updating algorithms and re-detecting the stored small box images according to the new algorithms to improve the detection effect.

[0046] The processing module 333 can establish an information library for each image in the database. In some embodiments, the processing module 333 can establish an information library for each image while detecting the stored images, and store information such as the storage time and machine number. In some embodiments, the processing module 333 extracts the industry QR code information on the image (such as the industry QR code information on the small box) and adds it to the information library of the image as a positioning reference for product traceability.

[0047] The traceability module 334 is used to effectively trace defective products according to the evaluation results and the identification information of the products. When the processing module 333 determines that there are undetected defective small boxes, it sends a message to remind the corresponding staff in the cigarette making and packing workshop. The traceability module 334 accurately locates the small boxes based on the industry QR code information on the small box image, in combination with the industry QR code database and the logistics information management system of the warehouse 35, so as to achieve the ultimate traceability purpose. In some embodiments, the logistics information management system 331 of the packaging system can determine the corresponding product location according to the industry QR code. The packaging system in the embodiments of the present disclosure can accurately locate the position of defective products in the warehouse based on the information in the logistics information management system, in combination with the traceability information of the products, and improve the product rejection efficiency.

[0048] In some embodiments, the appearance detector, the data transmission device, and the server cooperate with each other to perform the packaging detection method as shown below.

[0049] In step S11, the appearance detector acquires an image of the appearance of the product formed by the packaging machine during packaging, and a first quality detection result determined by the appearance detector based on the image.

[0050] In some embodiments, the packaging machine shapes the cigarette sticks produced by the upstream cigarette making machine, together with auxiliary materials such as trademark paper, inner cardboard, aluminum foil paper, and drawstring, into small box products. The image acquisition mechanism of the appearance detector acquires an image of the product completed by the packaging machine. The appearance detector is a real-time detection device and can complete the appearance quality detection within dozens of milliseconds based on built-in traditional algorithms such as color detection, boundary positioning, and straight line search objects, or deep learning technologies that have emerged in recent years. The appearance detector can be a detector that can be directly purchased on the market.

[0051] In some embodiments, a packaging machine group is deployed on the production line, including multiple packaging machines, and each packaging machine is configured with at least one appearance detector, so as to reduce the processing burden of the appearance detector, facilitate determining the packaging machine that produces defective products according to the processing results of the appearance detector, and thus facilitate the maintenance of production equipment.

[0052] In step S13, the data transmission device sends the image acquired by the appearance detector to the server. In some embodiments, the data transmission device includes a router, a network card, and a transmission medium. In some embodiments, the router is a wired router and the transmission medium is a data transmission line, such as a network cable. In some embodiments, the router is a wireless router and the transmission medium is radio waves.

[0053] In step S15, the server performs re-detection based on the image to obtain the second quality detection result. In some embodiments, the computing power of the server is stronger than that of the appearance detector, thereby improving the image processing ability. In some embodiments, the accuracy of the image detection algorithm running in the server is higher than the algorithm built in the appearance detector, so as to further reduce the missed detection rate.

[0054] In some embodiments, the detected defects include at least one of breakage, crack, hole, water mist, wire misalignment, sealing misalignment, unclear pattern, concave corner, foreign object, wrinkle, scratch, wire breakage, printing error, color difference, decolorization, white exposure, deformation, missing steel seal, trademark leakage, unclear character, opening, dirt, warped corner, folded corner, unclear steel seal, missing pattern, uncut incision, etc., so as to improve the comprehensiveness of detection and the appearance quality of the product.

[0055] In some embodiments, multiple image detection algorithms can be built in the server to perform image detection in a parallel or serial manner, further reducing the missed detection rate.

[0056] The method in the embodiments of the present disclosure can utilize the image obtained by the appearance detector, perform secondary detection using the server, and utilize the stronger computing power of the server to improve the fineness and accuracy of image analysis, reduce the probability of missed detection of defective products, and improve the reliability of product detection and product quality.

[0057] In some embodiments, the packaging detection method further includes step S17 and step S19. Step S17 is executed after step S11; step S19 is executed after step S17.

[0058] In step S17, when the first quality detection result indicates a defect, the product corresponding to the first quality detection result is immediately removed. In some embodiments, the appearance detection device is equipped with a removal mechanism, which can control the removal mechanism to remove the corresponding product on the production line when it is determined that the product has a defect, thereby preventing the product from flowing into the next link, improving the real-time performance of product quality management, and reducing costs.

[0059] In step S19, when the second quality detection result indicates a defect, the product corresponding to the second quality detection result is determined and a prompt message is sent for traceability. In some embodiments, first determine whether the first quality detection result of the image corresponding to the second quality detection result is a defect. If the first quality detection result is a defect, the product has been removed and no further processing is required; if the first quality detection result is empty or there is no defect, a prompt message is sent.

[0060] The method in the embodiments of the present disclosure can eliminate products detected with defects in real time to avoid warehousing, improving the real-time performance of product quality inspection; by using the results supplemented by the server to trace and eliminate the warehoused products with defects, defective products are prevented from being shipped out, further improving product quality.

[0061] In some embodiments, the appearance detector, the data transmission device, and the server cooperate with each other and can also perform the packaging inspection method as shown below.

[0062] In step 221, the appearance detector names the image according to a predetermined naming rule to generate an image file in a predetermined format. In some embodiments, the predetermined naming rule is: sort the brand identifier, machine identifier, image acquisition device identifier, production time, and the first quality inspection result in a predetermined order and use them as the file name. For example, name it as: the brand identifier + the machine identifier, the image acquisition device identifier, the production time, and the first quality inspection result sorted in a predetermined order as the file name.

[0063] In step 222, the image file is provided to the data transmission device so that the data transmission device can provide it to the server. In some embodiments, the server is located in the central control room of the cigarette making and packing workshop or a corresponding place. The above steps 221 and 222 are executed between steps S11 and S13.

[0064] In step 241, the server acquires and stores the image.

[0065] Based on the method in the above embodiments, the image can be stored as a file in a predetermined format and with a predetermined naming rule, which can improve the efficiency of subsequent batch data calculation and processing and facilitate file management; the information for tracing the product can be stored and transmitted in the form of the file name, which is convenient for product tracing according to the file name and improves the tracing efficiency.

[0066] In some embodiments, the appearance detector can provide the image and the first quality inspection result. After being sent to the server by the data transmission device, the server renames them. The server can determine the corresponding appearance detector according to the receiving path of the image, and then determine the corresponding packaging machine according to the appearance detector to obtain the machine identifier and the image acquisition device identifier; the server can estimate the corresponding production time according to the acquisition time of the image; the server can be pre-configured with the brand identifier, or determine the brand identifier according to the corresponding relationship between the currently configured packaging machine and the brand. The server can rename the picture file based on one or more of the above information for convenient subsequent management. Based on the method in the above embodiments, the operations performed by the appearance detector can be reduced, the impact on the real-time processing of the appearance detector can be avoided, and the reliability of real-time processing can be improved. In addition, since the server is more convenient to configure than the appearance detector, such a method can reduce the implementation difficulty and improve the deployment efficiency.

[0067] In some embodiments, the packaging detection method further includes steps 242 and 243.

[0068] In step 242, after storing the image file, the server feeds back a stored response to the data transmission device, and the data transmission device forwards the stored response to the appearance detector.

[0069] In step 243, in response to receiving the stored response, the appearance detector deletes the corresponding image stored by itself. Before receiving the stored response, the appearance detector continuously stores the corresponding image file.

[0070] The above steps 241 - 243 are executed between steps S13 and S15.

[0071] The method in the embodiments of the present disclosure can avoid image loss and also reduce the storage burden of the appearance detector.

[0072] In some embodiments, the appearance detector, the data transmission device, and the server cooperate with each other to perform the packaging detection method as shown below.

[0073] In step 341, the server stores the image.

[0074] In step 351, the server detects the image according to a pre - stored algorithm. The pre - stored algorithm includes a deep learning algorithm and also includes one or more of a color detection algorithm, a boundary location algorithm, a straight - line search object algorithm, an associated detection object algorithm, and an edge search object algorithm. The method in the embodiments of the present disclosure can perform image detection using multiple operation methods, improve the reliability of defect detection, and further reduce the missed detection rate.

[0075] In step 361, the server extracts the industry two - dimensional code information in the image and stores the second quality detection result in association with the industry two - dimensional code information.

[0076] In some embodiments, the traceability information corresponding to the image of the second quality detection result can also be determined according to the file name of the image. The traceability information includes a brand identifier, a machine platform identifier, an image acquisition device identifier, a production time, and a first quality detection result. The server stores the second quality detection result in association with the traceability information, thereby facilitating product traceability using the traceability information in the file name and improving the traceability efficiency.

[0077] In step 362, in the case where the second quality detection result indicates a defect, the corresponding product location is determined according to the industry two - dimensional code information and the logistics information management system of the warehouse.

[0078] Based on the method in the above - shown embodiments, the detection results of the server for the product can be associated and stored with the information for tracing the product, for example, stored in a database, which facilitates the use and query of information and improves the convenience of subsequent traceability information.

[0079] So far, the present disclosure has been described in detail. To avoid obscuring the concept of the present disclosure, some details well - known in the art have not been described. Those skilled in the art can fully understand how to implement the technical solutions disclosed here based on the above description.

[0080] It should be noted that the terms "first", "second", etc. in the specification, claims and drawings of the present disclosure are used to distinguish similar objects and do not necessarily have to be used to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present disclosure described here can be implemented in an order different from those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non - exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure and not to limit them; although the present disclosure has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that: still can modify the specific implementation manners of the present disclosure or make equivalent replacements for some technical features; without departing from the spirit of the technical solutions of the present disclosure, they should all be covered within the scope of the technical solutions claimed by the present disclosure.

Claims

1. A packaging system, characterized in that: include: Material conveying equipment, configured to convey packaged articles and packaging auxiliary materials to the packaging unit; A packaging machine, configured to package the packaged article with the packaging auxiliary material and output the packaged product; an appearance detector configured to collect images of products produced by the packaging machine and reject the products if it is determined that the products have defects; The data transmission device is configured to send the image collected by the appearance detector to the server.

2. The packaging system according to claim 1, characterized in that: Also includes: The alarm mechanism is configured to issue an alarm message when triggered by the server.

3. The packaging system according to claim 2, characterized in that: Also includes: The traceability rejection device is configured to reject corresponding products in the warehouse when triggered by the alarm mechanism or the server.

4. The packaging system according to claim 1, characterized in that: Also includes: The conveying line is located at the product output end of the packaging unit and is configured to convey the products toward the warehouse.

5. The packaging system according to claim 1, characterized in that: Also includes: A warehouse is configured to store products.

6. The packaging system according to claim 4, characterized in that: The conveying line comprises a first conveying line and a second conveying line; The first conveying line is configured to convey the product output by the packaging unit to a processing device; The second conveyor line conveys the processed products output by the processing equipment to the warehouse; The packaging system further comprises: processing equipment configured to perform packaging processing on the product and output the processed product.

7. The packaging system according to claim 1, characterized in that: The data transmission equipment includes a router, a network card and a data transmission line; or The data transmission equipment includes a wireless router and a network card.

8. The packaging system according to claim 1, characterized in that: There are multiple packaging machines, and the appearance detectors correspond to the packaging machines one by one.

9. The packaging system according to claim 8, characterized in that: The data transmission equipment corresponds to the packaging machine one by one.

10. The packaging system according to claim 1, characterized in that: The defects include at least one of breakage, cracks, holes, water mist, misaligned wire threads, misplaced seals, unclear patterns, concave corners, foreign matter, wrinkles, scratches, broken wire threads, printing errors, color differences, discoloration, whitening, deformation, missing steel seals, leaking trademarks, unclear characters, openings, dirt, warped corners, folded corners, unclear steel seals, missing patterns, and missed cuts.

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